A fuzzy nonlinear programming approach for planning energy-efficient wafer fabrication factories

Yi Chi Wang, Min Chi Chiu*, Toly Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Wafer fabrication is an energy-consuming process. Achieving energy efficiency is, therefore, crucial for wafer fabrication factories (wafer fabs). However, limited studies have focused on resolving product quality problems for improving energy efficiency. This study proposed a novel fuzzy nonlinear programming (FNLP) approach for minimizing energy wastage caused by product quality problems. In the proposed methodology, first, the process of resolving the quality problems of a product is modeled as a fuzzy yield learning process. Then, the energy saved by the yield learning process is quantified. The total power consumption is obtained by summing the power consumptions of all the products in a wafer fab. Subsequently, an FNLP model is formulated and optimized to minimize the total energy consumption in the wafer fab by optimizing the product mix. The data from a wafer fab is used to demonstrate the applicability of the proposed FNLP approach. According to the experimental results, the total power consumption at a future period can be reduced by 17.2% by optimizing the product mix.

Original languageEnglish
Article number106506
JournalApplied Soft Computing Journal
Volume95
DOIs
StatePublished - Oct 2020

Keywords

  • Energy efficiency
  • Fuzzy nonlinear programming
  • Power consumption
  • Wafer fab
  • Yield

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